### Abstract

In this paper Bayesian methods are used to estimate the intraclass correlation coefficient in the balanced one-way random effects model. An estimator associated with the likelihood function derived from a pivotal quantity along with estimators using reference priors are considered. In addition, an estimator based on a posterior median is examined. These estimators are compared to one another and to the REML (restricted maximum likelihood) estimator in terms of MSE (mean-squared error). A beta-type approximation to the pivotal likelihood is considered. This can be combined with a beta prior to produce closed-form expressions that approximate the posterior mean and mode. These approximations generally perform well as judged by Bayes risk. Of the estimators considered the authors recommend the one obtained from the pivotal approach. The authors indicate how the estimation procedures may be extended to the unbalanced one-way random effects model.

Original language | English (US) |
---|---|

Pages (from-to) | 1247-1272 |

Number of pages | 26 |

Journal | Communications in Statistics - Theory and Methods |

Volume | 28 |

Issue number | 6 |

State | Published - 1999 |

### Fingerprint

### Keywords

- Beta likelihood approximation
- Pivotal quantity
- Reference priors
- REML estimator
- Variance components

### ASJC Scopus subject areas

- Safety, Risk, Reliability and Quality
- Statistics and Probability

### Cite this

*Communications in Statistics - Theory and Methods*,

*28*(6), 1247-1272.

**Bayesian estimators of the intraclass correlation coefficient in the one-way random effects model.** / Burch, Brent D; Harris, Ian R.

Research output: Contribution to journal › Article

*Communications in Statistics - Theory and Methods*, vol. 28, no. 6, pp. 1247-1272.

}

TY - JOUR

T1 - Bayesian estimators of the intraclass correlation coefficient in the one-way random effects model

AU - Burch, Brent D

AU - Harris, Ian R.

PY - 1999

Y1 - 1999

N2 - In this paper Bayesian methods are used to estimate the intraclass correlation coefficient in the balanced one-way random effects model. An estimator associated with the likelihood function derived from a pivotal quantity along with estimators using reference priors are considered. In addition, an estimator based on a posterior median is examined. These estimators are compared to one another and to the REML (restricted maximum likelihood) estimator in terms of MSE (mean-squared error). A beta-type approximation to the pivotal likelihood is considered. This can be combined with a beta prior to produce closed-form expressions that approximate the posterior mean and mode. These approximations generally perform well as judged by Bayes risk. Of the estimators considered the authors recommend the one obtained from the pivotal approach. The authors indicate how the estimation procedures may be extended to the unbalanced one-way random effects model.

AB - In this paper Bayesian methods are used to estimate the intraclass correlation coefficient in the balanced one-way random effects model. An estimator associated with the likelihood function derived from a pivotal quantity along with estimators using reference priors are considered. In addition, an estimator based on a posterior median is examined. These estimators are compared to one another and to the REML (restricted maximum likelihood) estimator in terms of MSE (mean-squared error). A beta-type approximation to the pivotal likelihood is considered. This can be combined with a beta prior to produce closed-form expressions that approximate the posterior mean and mode. These approximations generally perform well as judged by Bayes risk. Of the estimators considered the authors recommend the one obtained from the pivotal approach. The authors indicate how the estimation procedures may be extended to the unbalanced one-way random effects model.

KW - Beta likelihood approximation

KW - Pivotal quantity

KW - Reference priors

KW - REML estimator

KW - Variance components

UR - http://www.scopus.com/inward/record.url?scp=0000961480&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0000961480&partnerID=8YFLogxK

M3 - Article

VL - 28

SP - 1247

EP - 1272

JO - Communications in Statistics - Theory and Methods

JF - Communications in Statistics - Theory and Methods

SN - 0361-0926

IS - 6

ER -